• Complex HPC landscape and lack of streamlined operations – The customer faced challenges in performing the day-to-day cluster administration and carrying out various HPC-related operations, which led to downtimes.
• Lack of elastic and scalable infrastructure— This challenge caused a lack of faster provisioning (infra and services) in response to business needs, which created bottlenecks and restricted performance.
• Lack of flexibility and visibility— A lack of flexible pay–as–you–go consumption models and limited infrastructure visibility hampered transparency.
• Absence of on-demand automation – The HPC platform lacked automation capabilities, resulting in time-consuming manual processes.

Assessment

• Conducted a thorough assessment of the current HPC landscape and also identified specific bottlenecks.
• Identified the specific requirements and constraints of the client's HPC environment.

Build

• Automated provisioning – Used terraform pipelines to automate the deployment of HPC resources, using terraform.
• Auto scaling – Set up elastic infrastructure able to meet the high resource requirements and configured Auto Scaling of HPC nodes based on the EDA simulation.
• Streamlined job management – Configured job scheduling and management, with REST API integration to automate job submissions based on user personas.
• Software for monitoring – Implemented software that monitors the HPC cluster and alerts your administrators to problems before they impact users.

Operate

• Delivered end-to-end operations management, ensuring seamless, efficient management of day-to-day HPC tasks.
• Set up continuous monitoring of the HPC environment to ensure optimized performance and cost efficiency.
• Introduced software-based monitoring to monitor all resources in order to identify and respond to anomalies faster.